Re: Histogram Statistics

From: SPERFETTO (sperfetto@hiv.hjf.org)
Date: Thu Dec 28 1995 - 09:04:14 EST


Lorie,

In a recent exp. to determine the concentration and the biological activity of 
the CD4 receptors which would bind purified gp120 we performed a competitive 
binding exp. with serial dilution's of gp120.   After which we added anti-Leu3a 
(which competes for the same site ) and OKT3 (which does not compete).  These 
means were than calculated into ABC's (Quantum beads by FCS) and graphed.  
Cumulative frequency calculation are based on a accurate negative control which 
may mean blocking with "cold" ( non-conjugated)  MAB followed by the same 
conjugated MAB.  Because isotypic controls may have a different binding affinity 
this should not be used into these exps. unless you can prove the same binding 
affinity.

I hope the above exp. will give some idea how I would do your exp.

Stephen P. Perfetto
Department of HIV Disease Prevention
Walter Reed Army Institute of Research
1600 East Gude Drive
Rockville, MD. 20850




_______________________________________________________________________________
Subject: Histogram Statistics
From:    lori_m@SMTPGATE.BCSEW.EDU at Internet_Gateway
Date:    12/27/95  1:31 PM


     Happy New Year!
     
     I'm posting for a colleague with a statistics question:
     
     The basic question is this... If you overlay two histograms and do a 
     K/S statistical analysis, it will give you a % probability that the 
     curves are different.  This has been used to show that binding in the 
     experiment has occurred.  If you want to show that binding has NOT 
     occurred or has been blocked, at what level of probability can you say 
     that the two curves are NOT different?
     
     How do you prove both that binding has occurred (two curves are 
     different) and that you have now been able to block binding (two 
     curves are not different)?
     
     Are people out there using other statistics to show this?  What type 
     of numbers show statistical significance in your results?
     
     I haven't seen much in publications about interpretation of data like 
     this.  Feel free to reply directly to me or post back to the group.
     
     Thanks in advance for the help!
     
     Lorie
     
     _____________________________________________________________________
     Lorie Miller
     FACS Core Lab
     Blood Center of Southeastern Wisconsin
     lori_m@smtpgate.bcsew.edu


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